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Docker Expert

Checked
yunaamelia·vlatest·cloud

Automates Docker container creation, deployment, and management within cloud environments using best practices.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add yunaamelia/mcp-agent-memory-pro --skill docker-expert -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

yunaamelia

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned yunaamelia/mcp-agent-memory-pro at 890c09d433.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
890c09d433
Manifest
.agent/skills/docker-expert/SKILL.md
Scanned
1 file, 416 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill provides expertise in Docker, allowing agents to create, manage, and troubleshoot containerized applications. It can generate Dockerfiles, execute commands within containers, and diagnose common Docker issues. The agent leverages this knowledge to automate deployment processes and ensure efficient resource utilization.

When to use it

  • Automated Deployment: Deploying a new application or service by generating a Dockerfile and running container build/deploy commands.
  • Troubleshooting Container Issues: Diagnosing problems within existing Docker containers, such as port conflicts or resource limitations.
  • Creating Development Environments: Setting up consistent development environments using Docker containers with pre-configured tools and dependencies.
  • Containerization of Legacy Applications: Wrapping older applications in Docker containers to improve portability and simplify deployment.

Key capabilities

  • Dockerfile generation
  • Container command execution (e.g., docker run, docker exec)
  • Docker image building
  • Container troubleshooting
  • Resource management within containers

Example prompts

  • "Create a Dockerfile for a Python application that uses Flask."
  • "What's wrong with this Docker container? It keeps crashing."
  • "Run the 'ls -l' command inside my running container named 'my_app'."

Tips & gotchas

The agent requires access to a Docker environment (e.g., Docker Desktop, Docker Engine) and appropriate permissions to execute commands. Complex deployments may require iterative refinement of generated configurations.